Body balance ability monitoring based on acceleration spectrum analysis

Joint Event on 5^th International summit on Medical Biology & Bioengineering & 8^th International Conference & Exhibition on Biosensors and Bioelectronics

September 27-28, 2017 Chicago, USA

Zewei Shi

Beijing No.4 High School, China

Posters & Accepted Abstracts: J Bioengineer & Biomedical Sci

Abstract :

Popular human balance ability monitoring methods such as scale scoring and posturography testing have many drawbacks, e.g., subjective judgment, complicated and expensive instrument platform, pre-defined actions in lab environment other than real walking postures in daily living. In order to overcome these weaknesses, the author developed a brand-new balance monitoring methodology. The methodology is developed directly on human real walking postures as follows: (1) the body motion is simplified with a three-spot mathematic model, i.e. the waist, the left foot and the right foot structure. (2) the acceleration data at each spot are collected and processed via Fourier transform to get dynamic spectrums. (3) The spectrum data are further analyzed to interprat the balance condition by reviewing the degree of harmonic restraining, harmonic compensating, and inter-spots spectrum correlation. (4) A specific algorithm was developed to aggregate the specific spectrum features into a general balance ability index. Based on the methodology as above, the author successfully developed the electronic modules, the software system and android application so that a smart wearable balance ability monitoring device was invented. The device is mini scaled and user friendly.Iit can precisely identify individual balance ability differences that cannot be distinguished by human sense. The invention can be used for older adults, providing imbalance warning in their daily life to avoid injury from falling down. It can be used as well in many other aspects, such as walking recovery training, exoskeleton control and so on.